Power Minimization Algorithm in Wireless Ad-hoc Networks Based on PSO

Alfawaer, Zeyad M.; Hua, Gui Wei; Abdullah, Maan Younis; ., I. Dioubate Mamady

doi:10.3923/jas.2007.2523.2526

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Based on the inertia weight parameter each node is investigated. Inertia weight can be changed so that each node in WSN (Kennedy et al, 2001;Osama et al, 2005;Murthy and Manoj, 2004;Lee and Knignt, 2005;Alfawaer et al, 2007) can be estimated to find adjacent nodes and partial adjacent nodes. According to She and Eberhart they stated the criterion function as follows:…”

Section: Ffa Estimation-basic Approachmentioning

confidence: 99%

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Ffa-Context Aware Energy Efficient Routing Using Fast Reactive and Adaptive Algorithm

Rani¹

2014

American Journal of Applied Sciences

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A vital issue of routing is how to efficiently strengthen energy consumption of the whole network and to avoid the energy-hole which leads to node failure or node death; this scenario makes the network to work improperly and leads to network death, Here we proves our hypothesis with linearity between routing and linear principles. Our proposed work effectively utilizes the adaption of Optimized particle swarm algorithm (Fast Reactive and fast adaptive algorithm) in order to solve the routing problem in wireless sensor networks to avoid the energy hole. Our approach effectively defines the node leader based on energy level and path optimization for node traversing using particle swarm which effectively utilizes the solution for problem in linearity into routing problem. Our algorithm FFA redefines the particle swarm rules which are reliable in routing strategies and adapts to the working principle. The optimization in our algorithm is to balance energy level and to withstand for its context. This study proves the accuracy using our algorithm respectively by theoretical survey and analysis with simulated results.

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Section: Ffa Estimation-basic Approachmentioning

confidence: 99%

“…In recent development in wireless communication which yields the sensor node to develop for multi-function (Arif and Rani, 2012) largely in sense of mobility patterns, random mobility, Probabilistic mobility, Controlled mobility, Predictable mobility (Alfawaer et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Ffa-Context Aware Energy Efficient Routing Using Fast Reactive and Adaptive Algorithm

Rani¹

2014

American Journal of Applied Sciences

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A survey on particle swarm optimization with emphasis on engineering and network applications

et al. 2019

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Energy Consumption in Wireless Ad Hoc Network

Gupta¹,

Saxena

2010

2010 3rd International Conference on Emerging Trends in Engineering and Technology

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Wireless Network is spreading all over the world. Wireless network are very easy in installation and in use. This type of network does not require any extra cost in establishment. Every network has its advantages and disadvantages. A user faces many problems during using this network. Wireless networks are established in two variant modes either in infrastructure mode or in Ad hoc mode. Working in infrastructure mode is some where similar to wired network. Data transmission is achieved with the help of centralized device. Ad hoc mode works in decentralized manner. All data transmission done through the nodes present in the network. Ad hoc mode has many challenges like limited bandwidth, limitation of battery power, less memory space, data forwarding techniques, route selection, size of data etc. Resources required during data transmission may not be available in large amount. This may interrupt overall working of network. Ad hoc mode is easily deployable. Network can be established any time any where. Popularity of such network is increasing day by day. Battery power is one of the main issues in working of Ad hoc mode. Overall working and lifetime of Ad hoc network is totally dependent on power available at a node. Power consumption in data transmission depends on distance between two nodes. Large distance may consume lot of battery power. Route selection, Network information distribution and retransmission of data also consumes noticeable amount of battery power. If a node spends very large part of its battery power in few data transmission then it may no longer be available to other nodes in the network. Such types of node are excluded from network path. In this paper it has been analyzed that data transmission depends on the distance between two nodes as well as on environmental condition. Environmental condition may affect data transmission.

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Power Minimization Algorithm in Wireless Ad-hoc Networks Based on PSO

Cited by 5 publications

References 3 publications

Ffa-Context Aware Energy Efficient Routing Using Fast Reactive and Adaptive Algorithm

Ffa-Context Aware Energy Efficient Routing Using Fast Reactive and Adaptive Algorithm

A survey on particle swarm optimization with emphasis on engineering and network applications

Energy Consumption in Wireless Ad Hoc Network

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